code: def __init__(self, columns=[], scale_method=SCALE_NORMAL):
      self.scale_method = scale_method
      self.columns = columns
      self.scale = preprocessing.StandardScaler(
          copy=True, with_mean=True, with_std=True
      )
      self.X_min_values = None
  
file_path: mljar-supervised/supervised/preprocessing/scale.py
imports: import numpy
  import pandas
  from sklearn import preprocessing
label_desc: Use image node_id 1 to create a new Scale object from inherited base classes: object with example: obj = Scale(columns, scale_method)